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Detection of steering events using hidden Markov models with multivariate observations

Maghsood, Roza ; Johannesson, Pär LU and Wallin, Jonas LU (2016) In International Journal of Vehicle Systems Modelling and Testing 11(4). p.313-329
Abstract

In this article we propose a method to identify steering events, such as curves and manoeuvres for vehicles. We use a hidden Markov model with multidimensional observations, to estimate the number of events. Three signals, lateral acceleration, steering angle speed and vehicle speed, are used as observations. We demonstrate that hidden Markov models with a combination of continuous and discrete distributions for observations can be used to detect steering events. Further, the expected number of events is estimated using the transition matrix of hidden states. The results from both measured and simulated data show that the method works well and accurately estimates the number of steering events.

Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Discrete distribution, EM algorithm, hidden Markov models, Hmms, Laplace distribution, steering events
in
International Journal of Vehicle Systems Modelling and Testing
volume
11
issue
4
pages
17 pages
publisher
Inderscience Publishers
external identifiers
  • scopus:85047075133
ISSN
1745-6436
DOI
10.1504/IJVSMT.2016.083752
language
English
LU publication?
yes
id
39538e66-2451-414b-92ac-7d68cecbbd69
date added to LUP
2018-05-30 15:58:50
date last changed
2022-03-02 06:29:53
@article{39538e66-2451-414b-92ac-7d68cecbbd69,
  abstract     = {{<p>In this article we propose a method to identify steering events, such as curves and manoeuvres for vehicles. We use a hidden Markov model with multidimensional observations, to estimate the number of events. Three signals, lateral acceleration, steering angle speed and vehicle speed, are used as observations. We demonstrate that hidden Markov models with a combination of continuous and discrete distributions for observations can be used to detect steering events. Further, the expected number of events is estimated using the transition matrix of hidden states. The results from both measured and simulated data show that the method works well and accurately estimates the number of steering events.</p>}},
  author       = {{Maghsood, Roza and Johannesson, Pär and Wallin, Jonas}},
  issn         = {{1745-6436}},
  keywords     = {{Discrete distribution; EM algorithm; hidden Markov models; Hmms; Laplace distribution; steering events}},
  language     = {{eng}},
  month        = {{01}},
  number       = {{4}},
  pages        = {{313--329}},
  publisher    = {{Inderscience Publishers}},
  series       = {{International Journal of Vehicle Systems Modelling and Testing}},
  title        = {{Detection of steering events using hidden Markov models with multivariate observations}},
  url          = {{http://dx.doi.org/10.1504/IJVSMT.2016.083752}},
  doi          = {{10.1504/IJVSMT.2016.083752}},
  volume       = {{11}},
  year         = {{2016}},
}